The Mechanics of n-Player Differentiable Games

15 February 2018

Papers citing "The Mechanics of n-Player Differentiable Games"

50 / 168 papers shown

Title
A Differential Game Theoretic Neural Optimizer for Training Residual Networks Guan-Horng Liu T. Chen Evangelos A. Theodorou 24 2 0 17 Jul 2020
Exponential Convergence of Gradient Methods in Concave Network Zero-sum Games Amit Kadan Hu Fu 22 6 0 10 Jul 2020
Higher-order methods for convex-concave min-max optimization and monotone variational inequalities Brian Bullins Kevin A. Lai 33 36 0 09 Jul 2020
Stochastic Hamiltonian Gradient Methods for Smooth Games Nicolas Loizou Hugo Berard Alexia Jolicoeur-Martineau Pascal Vincent Simon Lacoste-Julien Ioannis Mitliagkas 39 50 0 08 Jul 2020
Momentum Accelerates Evolutionary Dynamics Marc Harper Joshua Safyan 28 2 0 05 Jul 2020
The Evolutionary Dynamics of Independent Learning Agents in Population Games Shuyue Hu Chin-wing Leung Ho-fung Leung Harold Soh AI4CE 18 3 0 29 Jun 2020
Newton-type Methods for Minimax Optimization Guojun Zhang Kaiwen Wu Pascal Poupart Yaoliang Yu 24 24 0 25 Jun 2020
Taming GANs with Lookahead-Minmax Tatjana Chavdarova Matteo Pagliardini Sebastian U. Stich François Fleuret Martin Jaggi GAN 24 25 0 25 Jun 2020
A Convergent and Dimension-Independent Min-Max Optimization Algorithm Vijay Keswani Oren Mangoubi Sushant Sachdeva Nisheeth K. Vishnoi 22 1 0 22 Jun 2020
Competitive Policy Optimization Manish Prajapat Kamyar Azizzadenesheli Alexander Liniger Yisong Yue Anima Anandkumar 26 14 0 18 Jun 2020
Competitive Mirror Descent F. Schafer Anima Anandkumar H. Owhadi 15 12 0 17 Jun 2020
The limits of min-max optimization algorithms: convergence to spurious non-critical sets Ya-Ping Hsieh P. Mertikopoulos V. Cevher 35 81 0 16 Jun 2020
Learning to Incentivize Other Learning Agents Jiachen Yang Ang Li Mehrdad Farajtabar P. Sunehag Edward Hughes H. Zha 26 66 0 10 Jun 2020
Neural Lyapunov Redesign Arash Mehrjou Mohammad Ghavamzadeh Bernhard Schölkopf 11 1 0 06 Jun 2020
Chaos, Extremism and Optimism: Volume Analysis of Learning in Games Yun Kuen Cheung Georgios Piliouras 18 35 0 28 May 2020
Stochastic Potential Games David Mguni 9 7 0 27 May 2020
On the Impossibility of Global Convergence in Multi-Loss Optimization Alistair Letcher 29 32 0 26 May 2020
Navigating the Landscape of Multiplayer Games Shayegan Omidshafiei K. Tuyls Wojciech M. Czarnecki Francisco C. Santos Mark Rowland ... Paul Muller Julien Perolat Bart De Vylder A. Gruslys Rémi Munos 21 2 0 04 May 2020
A Dual-Dimer Method for Training Physics-Constrained Neural Networks with Minimax Architecture Dehao Liu Yan Wang 19 72 0 01 May 2020
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies Stephan Zheng Alexander R. Trott Sunil Srinivasa Nikhil Naik Melvin Gruesbeck David C. Parkes R. Socher 31 131 0 28 Apr 2020
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization Julien Perolat Rémi Munos Jean-Baptiste Lespiau Shayegan Omidshafiei Mark Rowland ... David Balduzzi Bart De Vylder Georgios Piliouras Marc Lanctot K. Tuyls 12 84 0 19 Feb 2020
A mean-field analysis of two-player zero-sum games Carles Domingo-Enrich Samy Jelassi A. Mensch Grant M. Rotskoff Joan Bruna MLT 40 40 0 14 Feb 2020
Unsupervised Learning of the Set of Local Maxima Lior Wolf Sagie Benaim Tomer Galanti SSL 12 7 0 14 Jan 2020
Smooth markets: A basic mechanism for organizing gradient-based learners David Balduzzi Wojciech M. Czarnecki Thomas W. Anthony I. Gemp Edward Hughes Joel Z. Leibo Georgios Piliouras T. Graepel 14 15 0 14 Jan 2020
Understanding and mitigating gradient pathologies in physics-informed neural networks Sizhuang He Yujun Teng P. Perdikaris AI4CE PINN 35 290 0 13 Jan 2020
Accelerating Smooth Games by Manipulating Spectral Shapes Waïss Azizian Damien Scieur Ioannis Mitliagkas Simon Lacoste-Julien Gauthier Gidel 33 48 0 02 Jan 2020
Lower Dimensional Kernels for Video Discriminators Emmanuel Kahembwe S. Ramamoorthy 32 50 0 18 Dec 2019
LOGAN: Latent Optimisation for Generative Adversarial Networks Yongpeng Wu Jeff Donahue David Balduzzi Karen Simonyan Timothy Lillicrap GAN 12 88 0 02 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kaipeng Zhang Zhuoran Yang Tamer Basar 63 1,184 0 24 Nov 2019
Optimizing Millions of Hyperparameters by Implicit Differentiation Jonathan Lorraine Paul Vicol David Duvenaud DD 30 403 0 06 Nov 2019
Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games Lampros Flokas Emmanouil-Vasileios Vlatakis-Gkaragkounis Georgios Piliouras MLT 22 41 0 28 Oct 2019
Implicit competitive regularization in GANs Florian Schäfer Hongkai Zheng Anima Anandkumar GAN 16 35 0 13 Oct 2019
Stabilizing Generative Adversarial Networks: A Survey Maciej Wiatrak Stefano V. Albrecht A. Nystrom GAN 29 84 0 30 Sep 2019
On the convergence of single-call stochastic extra-gradient methods Yu-Guan Hsieh F. Iutzeler J. Malick P. Mertikopoulos 22 167 0 22 Aug 2019
Competing Against Equilibria in Zero-Sum Games with Evolving Payoffs Adrian Rivera Cardoso Jacob D. Abernethy He Wang Huan Xu 24 7 0 17 Jul 2019
Linear Lower Bounds and Conditioning of Differentiable Games Adam Ibrahim Waïss Azizian Gauthier Gidel Ioannis Mitliagkas 31 10 0 17 Jun 2019
A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Games Waïss Azizian Ioannis Mitliagkas Simon Lacoste-Julien Gauthier Gidel 20 24 0 13 Jun 2019
A Closer Look at the Optimization Landscapes of Generative Adversarial Networks Hugo Berard Gauthier Gidel Amjad Almahairi Pascal Vincent Simon Lacoste-Julien GAN 20 64 0 11 Jun 2019
Last-iterate convergence rates for min-max optimization Jacob D. Abernethy Kevin A. Lai Andre Wibisono 16 73 0 05 Jun 2019
Convergence of Learning Dynamics in Stackelberg Games Tanner Fiez Benjamin J. Chasnov Lillian J. Ratliff 19 92 0 04 Jun 2019
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems Tianyi Lin Chi Jin Michael I. Jordan 25 499 0 02 Jun 2019
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games Kaipeng Zhang Zhuoran Yang Tamer Basar 32 125 0 31 May 2019
Convergence Analysis of Gradient-Based Learning with Non-Uniform Learning Rates in Non-Cooperative Multi-Agent Settings Benjamin J. Chasnov Lillian J. Ratliff Eric Mazumdar Samuel A. Burden 14 8 0 30 May 2019
Extragradient with player sampling for faster Nash equilibrium finding Carles Domingo Enrich Samy Jelassi Carles Domingo-Enrich Damien Scieur A. Mensch Joan Bruna 13 1 0 29 May 2019
Strategic Prediction with Latent Aggregative Games Vikas K. Garg Tommi Jaakkola 19 0 0 29 May 2019
Competitive Gradient Descent Florian Schäfer Anima Anandkumar 24 102 0 28 May 2019
Universality Theorems for Generative Models Valentin Khrulkov Ivan Oseledets 19 5 0 27 May 2019
Deep Compressed Sensing Yan Wu Mihaela Rosca Timothy Lillicrap GAN 30 162 0 16 May 2019
Differentiable Game Mechanics Alistair Letcher David Balduzzi S. Racanière James Martens Jakob N. Foerster K. Tuyls T. Graepel 37 79 0 13 May 2019
Fast and Furious Learning in Zero-Sum Games: Vanishing Regret with Non-Vanishing Step Sizes James P. Bailey Georgios Piliouras 10 31 0 11 May 2019